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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Surg.</journal-id>
<journal-title>Frontiers in Surgery</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Surg.</abbrev-journal-title>
<issn pub-type="epub">2296-875X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsurg.2023.1118693</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Surgery</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of hypersplenism on the outcome of hepatectomy in hepatocellular carcinoma with hepatitis B virus related portal hypertension</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Xiao</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2203617/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Dong</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Dong</surname><given-names>Rui</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Yang</surname><given-names>Tao</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Huang</surname><given-names>Bo</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Cao</surname><given-names>Yanlong</given-names></name></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Lu</surname><given-names>Jianguo</given-names></name>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1739662/overview" /></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Yin</surname><given-names>Jikai</given-names></name>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1929092/overview" /></contrib>
</contrib-group>
<aff><addr-line>Department of General Surgery</addr-line>, <institution>Tangdu Hospital, Fourth Military Medical University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Vincenzo Neri, University of Foggia, Italy</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Vincenzo Lizzi, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Foggia, Italy Guang-Peng Zhou, Capital Medical University, China</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jikai Yin <email>tdyjk07@fmmu.edu.cn</email> Jianguo Lu <email>ljg1963fmmu@163.com</email></corresp>
<fn id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn001"><p><bold>Specialty Section:</bold> This article was submitted to Visceral Surgery, a section of the journal Frontiers in Surgery</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>20</day><month>03</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1118693</elocation-id>
<history>
<date date-type="received"><day>07</day><month>12</month><year>2022</year></date>
<date date-type="accepted"><day>06</day><month>03</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Chen, Wang, Dong, Yang, Huang, Cao, Lu and Yin.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Chen, Wang, Dong, Yang, Huang, Cao, Lu and Yin</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Although hepatectomy plus splenectomy is not regularly recommended for hepatocellular carcinoma (HCC) with portal hypertension related hypersplenism due to the high risk accompanied with surgical procedures for now. Many researchers still believe that hypersplenism is a controversial adverse prognostic factor for HCC patients. Thus, the primary objective of the study was to determine the effects of hypersplenism on the prognosis of these patients during and after hepatectomy.</p>
</sec><sec><title>Methods</title>
<p>A total of 335 patients with HBV-related HCC who underwent surgical resection as primary intervention were included in this study and categorized into three groups. Group A consisted of 226 patients without hypersplenism, Group B included 77 patients with mild hypersplenism, and Group C contained 32 patients with severe hypersplenism. The influence of hypersplenism on the outcome during the perioperative and long-term follow-up periods was analyzed. The independent factors were identified using the Cox proportional hazards regression model.</p>
</sec><sec><title>Results</title>
<p>The presence of hypersplenism is associated with longer hospital stays, more postoperative blood transfusions, and higher complication rates. The overall survival (OS, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.020) and disease-free survival (DFS, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005) were significantly decreased in Group B compared to those in Group A. Additionally, the OS (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.014) and DFS (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.005) were reduced in Group C compared to those in Group B. Severe hypersplenism was a significant independent prognostic variable for both OS and DFS.</p>
</sec><sec><title>Conclusion</title>
<p>Severe hypersplenism prolonged the hospital stay, increased the rate of postoperative blood transfusion, and elevated the incidence of complications. Furthermore, hypersplenism predicted lower overall and disease-free survivals.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hypersplenism</kwd>
<kwd>prognosis</kwd>
<kwd>hepatitis B virus</kwd>
<kwd>hepatectomy</kwd>
<kwd>hepatocellular carcinoma ( HCC)</kwd>
</kwd-group><contract-num rid="cn001">81700533</contract-num><contract-num rid="cn002">2017SF-116, 2015JM8420, 2015KTCL03&#x2013;05</contract-num><contract-num rid="cn003">2017LCYJ003, 2018JSYJ010, 2019LCYJ005</contract-num><contract-sponsor id="cn001">National Natural Science Foundation of China</contract-sponsor><contract-sponsor id="cn002">Key Research and Development Program of Shaanxi Province, China</contract-sponsor><contract-sponsor id="cn003">Innovation and Development Foundation of Tangdu Hospital</contract-sponsor><counts>
<fig-count count="3"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="35"/><page-count count="0"/><word-count count="0"/></counts>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is the most found histological type of liver cancer worldwide. The geographical distribution of the incidence of HCC greatly varies in different locations. A high burden of disease is observed in endemic areas where the infection of hepatitis B virus (HBV) is common and in people with chronic liver disease and cirrhosis, especially in China. A majority of liver cancers occur in Asia and China accounts for 47&#x0025; of all liver cancers globally (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). HBV-related HCC always lead to a poor prognosis, meanwhile portal hypertension (PH) related hypersplenism is a common manifestation of HCC, leading to leucopenia, thrombocytopenia, and anemia. Advanced cases of HCC with end-stage liver diseases are recommended for liver transplantation (<xref ref-type="bibr" rid="B3">3</xref>). Nevertheless, due to the high cost and shortage of donors, liver transplantation is controversial for patients with hypersplenism and an adequate hepatic reserve. Hypersplenism can also lead to hepatic damage, increase the magnitude of hepatic fibrosis, and cause severe functional abnormalities, including thrombocytopenia. Thrombocytopenia heightens the risk of long-term bleeding, limiting the possibility of most treatments and worsening the prognosis (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>The European Association for the Study of the Liver (EASL) and the American Association for the Study of Liver Disease (AASLD) recommend performing hepatectomy only for patients with HCC without hypersplenism (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). However, patients with good liver function reserve undergo simultaneous hepatectomy and splenectomy, especially in East Asian countries like China and Japan (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Despite this surgical intervention, the treatment for hypersplenism in HCC patients is still a controversial issue. The spleen is an important functional unit of the immune system, and as the hepatic disease progresses the immune function of the spleen is gradually compensated and resulted in hypersplenism, which further develops dysfunctional and enlarged spleen (<xref ref-type="bibr" rid="B9">9</xref>). In such a situation, spleen is always believed to negatively affect the immune function of the liver and the prognosis of HCC (<xref ref-type="bibr" rid="B10">10</xref>). However, research evidence on whether hypersplenism affects the prognosis of patients with HCC following hepatectomy is still insufficient due to the heterogeneity of study population and lacking short-term results in some previous studies. Therefore, we carried out this retrospective study of a single center aimed to elucidate the effects of hypersplenism on the prognosis of patients with HBV-related HCC following hepatectomy.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Patients</title>
<p>Data were retrieved for the period from October 2009 to January 2019. A total of 386 patients were diagnosed with hepatocellular carcinoma histopathologically and treated in the general surgery department of the Second Affiliated Hospital of Air Force Military Medical University. All patients underwent hepatectomy without splenectomy for the first line of intervention. Among the patients, 24 subjects received previous therapies, including transhepatic arterial chemotherapy and embolization (TACE) or radiofrequency ablation (RFA). Eleven patients had a Child-Pugh score of grade C, two patients died within one month after surgery, 23 patients failed follow-up examinations within the first 3 months after liver resection, and 15 patients had poor quality data. These patients were all excluded from the study. Eventually, a retrospective study of 335 patients was enrolled. Patients were categorized into 3 groups for further analysis. Group A consisted of 226 patients without hypersplenism. Group B included 77 patients with slight to mild hypersplenism. The remaining 32 patients with severe hypersplenism (a platelet count of less than 50&#x2009;&#x00D7;&#x2009;109/L and/or a WBC count of less than 2.0&#x2009;&#x00D7;&#x2009;109/L classified the condition as severe hypersplenism) (<xref ref-type="bibr" rid="B11">11</xref>) were included in Group C. This proportional distribution was in line with the actual incidence of the clinical situation. Patient selection is summarized in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>. Inclusion criteria were male or female patients with the age between 18 and 75 years, patients with hypersplenism that was defined with a platelet count of less than 100&#x2009;&#x00D7;&#x2009;109/L and/or a WBC count of less than 3.0&#x2009;&#x00D7;&#x2009;109/L (<xref ref-type="bibr" rid="B12">12</xref>), patients with histopathological diagnosis of hepatocellular carcinoma, patients who were positive for hepatitis B surface antigen (HBsAg) and negative for hepatitis C antibody, patients who didn&#x0027;t have any severe heart, lung, brain, or other organ diseases, and patients who didn&#x0027;t have radiological evaluation and diagnosis. Exclusion criteria were patients who didn&#x2019;t have clinical data, patients with Child-Pugh score of grade C, and patients who were lost to follow-up within one month after discharge from the hospital. This study was approved by the Ethical Committee of Tangdu Hospital-Air Force Medical University (study approval number: 202011&#x2013;32). This study followed the Declaration of Helsinki principles as well. Written informed consent was waived due to the retrospective nature of the study. The information of all the patients was only used for analytical purposes.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flowchart of the selection process of study participants for the present analyses.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-10-1118693-g001.tif"/>
</fig>
</sec>
<sec id="s2b"><title>Data collection</title>
<p>All patient data required for this study were retrieved from the medical records. The basic and clinical variables included in the analysis were age, gender, Child-Pugh score on admission, HBV-DNA levels, preoperative and postoperative antiviral therapies, tumor size and number, and complication with portal hypertension. Perioperative laboratory parameters included in the analysis were blood routine test, coagulation functional evaluation, liver function, serum tumor markers, and Clavien-Dindo Classification of Surgical Complications (<xref ref-type="bibr" rid="B13">13</xref>). Perioperative clinical information included in the analysis were operative time, blood loss, intraoperative and postoperative blood transfusions, and postoperative hospital stay.</p>
</sec>
<sec id="s2c"><title>Follow-up examination</title>
<p>All patients went through follow-up monitoring one month after the surgery and every 3&#x2013;6 months thereafter. Follow-up evaluation was conducted by telephone or outpatient visiting for physical examination,, laboratory examinations such as blood routine test and liver function assessment, and imaging examinations were conducted if necessary. When tumor recurrence was clinically suspected, contrast-enhanced computed tomography (CT) and/or MR was performed for definitive diagnosis. Diagnosis of recurrence was based on the initial diagnostic criteria.</p>
<p>The endpoints of the study were overall survival (OS) and disease-free survival (DFS). OS was defined as the time from the date of initial diagnosis until the date of death or last follow-up. DFS was defined as the time from the date of surgery to the recurrence of cancer or death by any cause or the date of the last follow-up. The last follow-up date for this study was July 31st, 2021.</p>
</sec>
<sec id="s2d"><title>Statistical analysis</title>
<p>Continuous variables with normal distribution were expressed as mean&#x2009;&#x00B1;&#x2009;standard deviation, and continuous variables with abnormal distribution were shown as median and interquartile range (IQR). The continuous variables with skewed distribution were compared between the groups using Kruskal-Wallis non-parametric test. Data among the three groups were compared using analysis of covariance (ANCOVA). Categorical variables were classified according to normal reference values or clinical assessment outcomes. Results were compared using the chi-square test or Fisher&#x0027;s exact test.</p>
<p>OS and DFS were analyzed by the Kaplan-Meier method and compared by the log-rank test. Univariate and multivariate analyses of postoperative prognostic factors were carried out using Cox proportional hazards models. Baseline variables deemed clinically relevant or univariately associated with the outcome measures were incorporated into the multivariate Cox proportional hazards regression model. Given the number of events available, the variables included were carefully selected to ensure parsimony in the final model. Two-tailed <italic>P</italic>-values of&#x2009;&#x2264;&#x2009;0.05 were considered statistically significant. The IBM SPSS software version 26.0 (IBM Corp., Armonk, NY, United States) and R software (version 4.1.2; R Foundation) was used for all statistical analyses.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Baseline characteristics</title>
<p>All patients were histopathologically diagnosed with HCC with hepatitis B viral cirrhosis and received hepatectomy. Furthermore, patients in Group B and Group C manifested in two different degrees of hypersplenism. The basic information for the three groups is shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. Most cases from groups A and B had positive for HBV-DNA copies, but only a few cases from group C exhibited positive for the HBV-DNA copies (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.001). Group B and Group C had lower albumin (ALB) levels than that in Group A (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.005). Due to hypersplenism, spleen-related blood tests manifestations, between Group B and Group C were significantly different [WBC (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), PLT (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), PT (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), and combined portal hypertension (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001)]. The HBV-DNA copies and ALB levels were corrected to the levels before surgery. Furthermore, other baseline characteristics were comparable across groups.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline characteristics.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Group A (<italic>n</italic>&#x2009;&#x003D;&#x2009;226)</th>
<th valign="top" align="center">Group B (<italic>n</italic>&#x2009;&#x003D;&#x2009;77)</th>
<th valign="top" align="center">Group C (<italic>n</italic>&#x2009;&#x003D;&#x2009;32)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">51.88&#x2009;&#x00B1;&#x2009;10.50</td>
<td valign="top" align="center">52.36&#x2009;&#x00B1;&#x2009;9.44</td>
<td valign="top" align="center">50.88&#x2009;&#x00B1;&#x2009;12.40</td>
<td valign="top" align="center">0.795</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.400</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">191 (84.5&#x0025;)</td>
<td valign="top" align="center">60 (77.9&#x0025;)</td>
<td valign="top" align="center">26 (81.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">35 (15.5&#x0025;)</td>
<td valign="top" align="center">17 (22.1&#x0025;)</td>
<td valign="top" align="center">6 (18.7&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HBV-DNA level (copies/ml)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Negative</td>
<td valign="top" align="center">101 (44.7&#x0025;)</td>
<td valign="top" align="center">38 (49.4&#x0025;)</td>
<td valign="top" align="center">26 (81.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>ositive</td>
<td valign="top" align="center">125 (55.3&#x0025;)</td>
<td valign="top" align="center">39 (50.1&#x0025;)</td>
<td valign="top" align="center">6 (18.7&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Child-Pugh Classification</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.055</td>
</tr>
<tr>
<td valign="top" align="left">A</td>
<td valign="top" align="center">215 (95.1&#x0025;)</td>
<td valign="top" align="center">68 (88.3&#x0025;)</td>
<td valign="top" align="center">28 (87.5&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">B</td>
<td valign="top" align="center">11 (4.9&#x0025;)</td>
<td valign="top" align="center">9 (11.7&#x0025;)</td>
<td valign="top" align="center">4 (12.5&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Preoperative antiviral therapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.154</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">158 (69.9&#x0025;)</td>
<td valign="top" align="center">47 (61.0&#x0025;)</td>
<td valign="top" align="center">18 (56.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">68 (30.1&#x0025;)</td>
<td valign="top" align="center">30 (39.0&#x0025;)</td>
<td valign="top" align="center">14 (43.7&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Postoperative antiviral therapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">82 (36.3&#x0025;)</td>
<td valign="top" align="center">35 (45.5&#x0025;)</td>
<td valign="top" align="center">18 (56.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">144 (63.7&#x0025;)</td>
<td valign="top" align="center">42 (54.5&#x0025;)</td>
<td valign="top" align="center">14 (43.7&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">AFP (ng/ml)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.347</td>
</tr>
<tr>
<td valign="top" align="left">&#x2009;&#x2264;&#x2009;400</td>
<td valign="top" align="center">150 (66.4&#x0025;)</td>
<td valign="top" align="center">51 (66.2&#x0025;)</td>
<td valign="top" align="center">17 (53.1&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2009;&#x003E;&#x2009;400</td>
<td valign="top" align="center">76 (33.6&#x0025;)</td>
<td valign="top" align="center">26 (33.8&#x0025;)</td>
<td valign="top" align="center">15 (46.9&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ICG-R15 (&#x0025;) (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">6.42&#x2009;&#x00B1;&#x2009;5.34 (200, 88.5)</td>
<td valign="top" align="center">8.36&#x2009;&#x00B1;&#x2009;5.77 (63, 81.8)</td>
<td valign="top" align="center">8.84&#x2009;&#x00B1;&#x2009;9.81 (30, 93.8)</td>
<td valign="top" align="center">0.054</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size (cm)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.146</td>
</tr>
<tr>
<td valign="top" align="left">&#x2009;&#x2264;&#x2009;5</td>
<td valign="top" align="center">105 (46.5&#x0025;)</td>
<td valign="top" align="center">44 (57.1&#x0025;)</td>
<td valign="top" align="center">19 (59.4&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2009;&#x003E;&#x2009;5</td>
<td valign="top" align="center">121 (53.5&#x0025;)</td>
<td valign="top" align="center">33 (42.9&#x0025;)</td>
<td valign="top" align="center">13 (40.6&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Tumor number</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.388</td>
</tr>
<tr>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">194 (85.8&#x0025;)</td>
<td valign="top" align="center">68 (88.3&#x0025;)</td>
<td valign="top" align="center">25 (78.1&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Multiple</td>
<td valign="top" align="center">32 (14.2&#x0025;)</td>
<td valign="top" align="center">9 (11.7&#x0025;)</td>
<td valign="top" align="center">7 (21.9&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Portal hypertension</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">139 (61.5&#x0025;)</td>
<td valign="top" align="center">7 (9.1&#x0025;)</td>
<td valign="top" align="center">1 (3.1&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">87 (38.5&#x0025;)</td>
<td valign="top" align="center">70 (90.9&#x0025;)</td>
<td valign="top" align="center">31 (96.9&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Extent of liver resection</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.061</td>
</tr>
<tr>
<td valign="top" align="left">1 Liver segment</td>
<td valign="top" align="center">109 (48.2&#x0025;)</td>
<td valign="top" align="center">51 (66.2&#x0025;)</td>
<td valign="top" align="center">20 (62.5&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">2 Liver segments</td>
<td valign="top" align="center">59 (26.1&#x0025;)</td>
<td valign="top" align="center">18 (23.4&#x0025;)</td>
<td valign="top" align="center">8 (25.0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">3 Liver segments</td>
<td valign="top" align="center">22 (9.7&#x0025;)</td>
<td valign="top" align="center">4 (5.2&#x0025;)</td>
<td valign="top" align="center">2 (6.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Multiple liver segments</td>
<td valign="top" align="center">36 (15.9&#x0025;)</td>
<td valign="top" align="center">4 (5.2&#x0025;)</td>
<td valign="top" align="center">2 (6.3&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">WBC (10<sup>9</sup>/L)</td>
<td valign="top" align="center">6.09&#x2009;&#x00B1;&#x2009;2.02</td>
<td valign="top" align="center">4.03&#x2009;&#x00B1;&#x2009;1.56</td>
<td valign="top" align="center">3.17&#x2009;&#x00B1;&#x2009;1.30</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">PLT (10<sup>9</sup>/L)</td>
<td valign="top" align="center">174.27&#x2009;&#x00B1;&#x2009;57.33</td>
<td valign="top" align="center">91.77&#x2009;&#x00B1;&#x2009;35.11</td>
<td valign="top" align="center">49.94&#x2009;&#x00B1;&#x2009;14.54</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">ALT (IU/L)</td>
<td valign="top" align="center">41 (26, 55)</td>
<td valign="top" align="center">39 (24, 49)</td>
<td valign="top" align="center">41 (28, 43)</td>
<td valign="top" align="center">0.467</td>
</tr>
<tr>
<td valign="top" align="left">AST (IU/L)</td>
<td valign="top" align="center">35 (25, 53)</td>
<td valign="top" align="center">36 (26, 49)</td>
<td valign="top" align="center">37 (23, 47)</td>
<td valign="top" align="center">0.873</td>
</tr>
<tr>
<td valign="top" align="left">ALB (g/L)</td>
<td valign="top" align="center">40.78&#x2009;&#x00B1;&#x2009;4,70</td>
<td valign="top" align="center">39.76&#x2009;&#x00B1;&#x2009;4.61</td>
<td valign="top" align="center">38.08&#x2009;&#x00B1;&#x2009;3.90</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">TBIL (<italic>&#x03BC;</italic>mol/L)</td>
<td valign="top" align="center">15.63&#x2009;&#x00B1;&#x2009;7.88</td>
<td valign="top" align="center">18.50&#x2009;&#x00B1;&#x2009;9.09</td>
<td valign="top" align="center">21.94&#x2009;&#x00B1;&#x2009;9.78</td>
<td valign="top" align="center">0.743</td>
</tr>
<tr>
<td valign="top" align="left">PT (s)</td>
<td valign="top" align="center">11.74&#x2009;&#x00B1;&#x2009;1.17</td>
<td valign="top" align="center">12.06&#x2009;&#x00B1;&#x2009;1.16</td>
<td valign="top" align="center">12.63&#x2009;&#x00B1;&#x2009;1.13</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">AJCC TNM stage (8th)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.953</td>
</tr>
<tr>
<td valign="top" align="left">I</td>
<td valign="top" align="center">160 (70.8&#x0025;)</td>
<td valign="top" align="center">56 (72.7&#x0025;)</td>
<td valign="top" align="center">23 (71.9&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">II</td>
<td valign="top" align="center">15 (6.6&#x0025;)</td>
<td valign="top" align="center">5 (6.5&#x0025;)</td>
<td valign="top" align="center">3 (9.4&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">III</td>
<td valign="top" align="center">51 (22.6&#x0025;)</td>
<td valign="top" align="center">16 (20.8&#x0025;)</td>
<td valign="top" align="center">6 (18.7&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CNLC stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.992</td>
</tr>
<tr>
<td valign="top" align="left">I</td>
<td valign="top" align="center">174 (77.0&#x0025;)</td>
<td valign="top" align="center">59 (76.6&#x0025;)</td>
<td valign="top" align="center">25 (78.1&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">II</td>
<td valign="top" align="center">19 (8.4&#x0025;)</td>
<td valign="top" align="center">7 (9.1&#x0025;)</td>
<td valign="top" align="center">3 (9.4&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">III</td>
<td valign="top" align="center">33 (14.6&#x0025;)</td>
<td valign="top" align="center">11 (14.3&#x0025;)</td>
<td valign="top" align="center">4 (12.5&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BCLC stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.451</td>
</tr>
<tr>
<td valign="top" align="left">0/A</td>
<td valign="top" align="center">88 (38.9&#x0025;)</td>
<td valign="top" align="center">37 (48.1&#x0025;)</td>
<td valign="top" align="center">17 (53.1&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">B</td>
<td valign="top" align="center">104 (46.0&#x0025;)</td>
<td valign="top" align="center">29 (37.7&#x0025;)</td>
<td valign="top" align="center">11 (34.4&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">34 (15.1&#x0025;)</td>
<td valign="top" align="center">11 (14.2&#x0025;)</td>
<td valign="top" align="center">4 (12.5&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>HBV, hepatitis B virus; AFP, alpha-fetoprotein; ICG-R15, indocyanine green retention rate at 15&#x2005;min; WBC, white blood cell; PLT, platelet; ALT, alanine aminotransferase; AST, aspartate aminotransferase; ALB, albumin; TBIL, total bilirubin; PT, prothrombin time; AJCC, american joint committee on cancer; TNM, tumor, node, metastases; CNLC, China liver cancer staging; BCLC, barcelona clinic liver cancer.</p></fn>
<fn id="table-fn2"><p>Normal continuous variables were compared using ANCOVA. Nonnormal continuous variables were compared using the Kruskal-Wallis nonparametric test. Categorical variables were compared using the chi-square test or Fisher&#x0027;s exact test.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><title>Perioperative data</title>
<p>A summary of perioperative variables is shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. During the surgical procedure, no significant differences in blood loss and operation time among these three groups were observed. But, patients in Group C required more postoperative blood transfusions (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.025) and longer hospital stay (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.012).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Major complication classification and other clinical data.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Group A (<italic>n</italic>&#x2009;&#x003D;&#x2009;226)</th>
<th valign="top" align="center">Group B (<italic>n</italic>&#x2009;&#x003D;&#x2009;77)</th>
<th valign="top" align="center">Group C (<italic>n</italic>&#x2009;&#x003D;&#x2009;32)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Operative time (min)</td>
<td valign="top" align="center">210 (165, 265)</td>
<td valign="top" align="center">217 (165, 260)</td>
<td valign="top" align="center">191 (178, 240)</td>
<td valign="top" align="center">0.685</td>
</tr>
<tr>
<td valign="top" align="left">Intraoperative bleeding (ml)</td>
<td valign="top" align="center">400 (300, 800)</td>
<td valign="top" align="center">400 (200, 700)</td>
<td valign="top" align="center">400 (275, 625)</td>
<td valign="top" align="center">0.532</td>
</tr>
<tr>
<td valign="top" align="left">Hospital stays (days)</td>
<td valign="top" align="center">9 (7, 11)</td>
<td valign="top" align="center">9 (7, 11)</td>
<td valign="top" align="center">11 (8, 13)</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">Postoperative blood transfusion</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.025</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">191 (84.5&#x0025;)</td>
<td valign="top" align="center">60 (77.9&#x0025;)</td>
<td valign="top" align="center">21 (65.6&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">35 (15.5&#x0025;)</td>
<td valign="top" align="center">17 (22.1&#x0025;)</td>
<td valign="top" align="center">11 (34.4&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">With complication of Clavien-Dindo grade IIIA or above</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">10 (4.4&#x0025;)</td>
<td valign="top" align="center">9 (11.5&#x0025;)</td>
<td valign="top" align="center">10 (30.3&#x0025;)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">IIIA</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">IIIB</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">IVA</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">IVB</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">V</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>Grade III A: group A, 4 patients received abdominocentesis and 2 underwent pleurocentesis; group B, 2 patients received abdominocentesis and 3 underwent pleurocentesis; group C, 4 patients received abdominocentesis and 1 underwent pleurocentesis.</p></fn>
<fn id="table-fn4"><p>Grade IIIB: group A, 1 patient underwent re-laparotomy for intra-abdominal bleeding; group B, 1 patient underwent re-laparotomy for intra-abdominal bleeding; group C, 1 patient underwent re-laparotomy for intra-abdominal bleeding.</p></fn>
<fn id="table-fn5"><p>Grade IVA: group A, 1 patient needed ICU management due to the renal failure and 1 due to the pulmonary embolism; group B, 1 patient needed ICU management due to the hypotension and shock; group C, 1 patient needed ICU management due to the liver failure.</p></fn>
<fn id="table-fn6"><p>Grade IVB: group A, 1 patient needed ICU management due to the hepatorenal syndrome; group B, 1 patient needed ICU management due to the hepatorenal syndrome; group C, 1 patient needed ICU management due to the hepatorenal syndrome.</p></fn>
<fn id="table-fn7"><p>Grade V: group A, no patient died during the perioperative period; group B, 1 patient died of septic shock post-discharge within one months; group C, 1 patient died of intra-abdominal bleeding post-discharge within one months.</p></fn>
<fn id="table-fn8"><p>Nonnormal continuous variables were compared using the Kruskal-Wallis nonparametric test. Categorical variables were compared using the chi-square test or Fisher&#x0027;s exact test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>For postoperative complications, major complications were defined as complications of grade III or above and included in this study. Ten cases (4.4&#x0025;) in Group A, nine cases (11.5&#x0025;) in Group B, and ten cases (30.3&#x0025;) in Group C developed complications of grade III or above. The differences in the complication category were significant among the three groups (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
</sec>
<sec id="s3c"><title>Survival rate and prognostic factors</title>
<p>The follow-up data are shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref> and <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>. The average follow-up time was 64.68&#x2009;&#x00B1;&#x2009;1.65 months. The average OS (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) and DFS (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) were significantly different among the three groups. Similarly, significant differences in the number of recurrences (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) and deaths (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) were found. In addition, from the follow-up data, HBV-DNA was negative in all patients after six months. Group A had significantly better OS than Group B (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.020), and Group B had significantly better OS than Group C (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.014) (<xref ref-type="fig" rid="F2">Figure&#x00A0;2A</xref>). Similarly, Group A had the best DFS, followed by Group B (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.005, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005) (<xref ref-type="fig" rid="F2">Figure&#x00A0;2B</xref>).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Kaplan-Meier survival curves for (<bold>A</bold>) overall survival and (<bold>B</bold>) disease-free survival. (<bold>A</bold>) The patients exhibited HCC without hypersplenism in the group A had much better overall survival rate than the patients with HCC and mild hypersplenism in the group B (the 1-, 3-, 5-, 7-, and 9-year overall survival rates: 92.5&#x0025;, 81.8&#x0025;, 71.3&#x0025;, 62.5&#x0025; and 52.5&#x0025;, respectively vs. 87.0&#x0025;, 74.2&#x0025;, 61.3&#x0025;, 43.2&#x0025; and 34.6&#x0025;, respectively, <italic>P</italic>1&#x2009;&#x003D;&#x2009;0.0201). The patients in the group B had much better overall survival rate than the patients with HCC and severe hypersplenism in the group C (the 1-, 3-, 5-, 7-, and 9-year overall survival rates: 87.0&#x0025;, 74.2&#x0025;, 61.3&#x0025;, 43.2&#x0025; and 34.6&#x0025;, respectively vs. 80.8&#x0025;, 60.6&#x0025;, 35.6&#x0025;, 19.8&#x0025; and 0&#x0025;, respectively, <italic>P</italic>2&#x2009;&#x003D;&#x2009;0.0144). (<bold>B</bold>) The patients exhibited HCC without hypersplenism in the group A had much better disease-free survival rate than the patients with HCC and mild hypersplenism in the group B (the 1-, 3-, 5-, 7-, and 9-year overall survival rates: 74.2&#x0025;, 59.9&#x0025;, 55.0&#x0025;, 47.7&#x0025; and 44.7&#x0025;, respectively vs. 75.1&#x0025;, 42.6&#x0025;, 30.3&#x0025;, 23.5&#x0025; and 23.5&#x0025;, respectively, <italic>P</italic>1&#x2009;&#x003D;&#x2009;0.0053). The patients in the group B had much better disease-free survival rate than the patients with HCC and severe hypersplenism in the group C (the 1-, 3-, 5-, 7-, and 9-year overall survival rates: 75.1&#x0025;, 42.6&#x0025;, 30.3&#x0025;, 23.5&#x0025; and 23.5&#x0025;, respectively vs. 53.4&#x0025;, 13.1&#x0025;, 8.7&#x0025;, 8.7&#x0025; and 8.7&#x0025;, respectively, <italic>P</italic>2&#x2009;&#x003D;&#x2009;0.0049).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-10-1118693-g002.tif"/>
</fig>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Follow-up data.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Group A (<italic>n</italic>&#x2009;&#x003D;&#x2009;226)</th>
<th valign="top" align="center">Group B (<italic>n</italic>&#x2009;&#x003D;&#x2009;77)</th>
<th valign="top" align="center">Group C (<italic>n</italic>&#x2009;&#x003D;&#x2009;32)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Follow-up duration (months)</bold></td>
<td valign="top" align="center">65.09&#x2009;&#x00B1;&#x2009;1.91</td>
<td valign="top" align="center">62.38&#x2009;&#x00B1;&#x2009;3.54</td>
<td valign="top" align="center">66.28&#x2009;&#x00B1;&#x2009;5.92</td>
<td valign="top" align="center">0.614</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Overall survival time (months)</bold></td>
<td valign="top" align="center">85.44&#x2009;&#x00B1;&#x2009;3.142</td>
<td valign="top" align="center">68.09&#x2009;&#x00B1;&#x2009;4.96</td>
<td valign="top" align="center">47.58&#x2009;&#x00B1;&#x2009;5.98</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Disease-free survival time (months)</bold></td>
<td valign="top" align="center">67.37&#x2009;&#x00B1;&#x2009;3.71</td>
<td valign="top" align="center">43.57&#x2009;&#x00B1;&#x2009;5.18</td>
<td valign="top" align="center">21.35&#x2009;&#x00B1;&#x2009;4.45</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>No. of recurrence</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">127 (56.2&#x0025;)</td>
<td valign="top" align="center">30 (39.0&#x0025;)</td>
<td valign="top" align="center">6 (18.8&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">99 (43.8&#x0025;)</td>
<td valign="top" align="center">47 (61.0&#x0025;)</td>
<td valign="top" align="center">26 (81.2&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><bold>No. of death</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">157 (69.5&#x0025;)</td>
<td valign="top" align="center">44 (57.1&#x0025;)</td>
<td valign="top" align="center">10 (31.2&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">69 (30.5&#x0025;)</td>
<td valign="top" align="center">33 (42.9&#x0025;)</td>
<td valign="top" align="center">22 (68.8&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><bold>HBV-DNA level (copies/ml)</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Negative</td>
<td valign="top" align="center">226 (100.0&#x0025;)</td>
<td valign="top" align="center">77 (100.0&#x0025;)</td>
<td valign="top" align="center">32 (100.0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Positive</td>
<td valign="top" align="center">0 (0.0&#x0025;)</td>
<td valign="top" align="center">0 (0.0&#x0025;)</td>
<td valign="top" align="center">0 (0.0&#x0025;)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Disease-free survival</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">One-year DFS rate (&#x0025;)</td>
<td valign="top" align="center">74.2&#x0025;</td>
<td valign="top" align="center">75.1&#x0025;</td>
<td valign="top" align="center">53.4&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Three-year DFS rate (&#x0025;)</td>
<td valign="top" align="center">59.9&#x0025;</td>
<td valign="top" align="center">42.6&#x0025;</td>
<td valign="top" align="center">13.1&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Five-year DFS rate (&#x0025;)</td>
<td valign="top" align="center">55.0&#x0025;</td>
<td valign="top" align="center">30.3&#x0025;</td>
<td valign="top" align="center">8.7&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Seven-year DFS rate (&#x0025;)</td>
<td valign="top" align="center">47.7&#x0025;</td>
<td valign="top" align="center">23.5&#x0025;</td>
<td valign="top" align="center">8.7&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Nine-year DFS rate (&#x0025;)</td>
<td valign="top" align="center">44.7&#x0025;</td>
<td valign="top" align="center">23.5&#x0025;</td>
<td valign="top" align="center">8.7&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Overall survival</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">One-year OS rate (&#x0025;)</td>
<td valign="top" align="center">92.5&#x0025;</td>
<td valign="top" align="center">87.0&#x0025;</td>
<td valign="top" align="center">80.8&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Three-year OS rate (&#x0025;)</td>
<td valign="top" align="center">81.8&#x0025;</td>
<td valign="top" align="center">74.2&#x0025;</td>
<td valign="top" align="center">60.6&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Five-year OS rate (&#x0025;)</td>
<td valign="top" align="center">71.3&#x0025;</td>
<td valign="top" align="center">61.3&#x0025;</td>
<td valign="top" align="center">35.6&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Seven-year OS rate (&#x0025;)</td>
<td valign="top" align="center">62.5&#x0025;</td>
<td valign="top" align="center">43.2&#x0025;</td>
<td valign="top" align="center">19.8&#x0025;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Nine-year OS rate (&#x0025;)</td>
<td valign="top" align="center">52.5&#x0025;</td>
<td valign="top" align="center">34.6&#x0025;</td>
<td valign="top" align="center">0.0&#x0025;</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn9"><p>OS, overall survival; DFS, disease-free survival.</p></fn>
<fn id="table-fn10"><p>Normal continuous variables were compared using ANCOVA. Categorical variables were compared using the chi-square test or Fisher&#x0027;s exact test. Survival data were compared using the log-rank test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T4">Table&#x00A0;4</xref> shows prognosis-related risk factors derived from univariate and multivariate Cox regression analyses. Multivariate analysis showed that mild hypersplenism (HR&#x2009;&#x003D;&#x2009;2.063, 95&#x0025; CI: 1.351&#x2013;3.151, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), severe hypersplenism (HR&#x2009;&#x003D;&#x2009;3.754, 95&#x0025; CI: 2.241&#x2013;6.287, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), positive HBV-DNA copies (HR&#x2009;&#x003D;&#x2009;1.571, 95&#x0025; CI: 1.073&#x2013;2.300, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.020), serum AFP levels of &#x003E;400&#x2005;&#x019E;g/ml (HR&#x2009;&#x003D;&#x2009;1.950, 95&#x0025; CI: 1.335&#x2013;2.848, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), and tumor size of &#x003E;5&#x2005;cm (HR&#x2009;&#x003D;&#x2009;2.215, 95&#x0025; CI: 1.482&#x2013;3.310, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) were important independent prognostic factors for OS in patients with HBV-related HCC. Furthermore, in multivariate analysis of DFS, mild hypersplenism (hazard ratio [HR]&#x2009;&#x003D;&#x2009;1.778, 95&#x0025; confidence interval [CI]: 1.250&#x2013;2.529, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.001), severe hypersplenism (HR&#x2009;&#x003D;&#x2009;3.183, 95&#x0025; CI: 2.057&#x2013;4.926, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), and tumor size of &#x003E;5&#x2005;cm (HR&#x2009;&#x003D;&#x2009;1.635, 95&#x0025; CI: 1.206&#x2013;2.215, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.002) were independent prognostic factors in patients with HBV-related HCC. As the severity of hypersplenism increased, the risk of death and recurrence rose in patients with HBV- related HCC.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Univariate and multivariate analyses of prognostic factors for disease-free survival and overall survival.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Variables</th>
<th valign="top" align="center" colspan="4">Disease-free survival</th>
<th valign="top" align="center" colspan="4">Overall survival</th>
</tr>
<tr>
<th valign="top" align="center" colspan="2">Univariate analysis</th>
<th valign="top" align="center" colspan="2">Multivariate analysis</th>
<th valign="top" align="center" colspan="2">Univariate analysis</th>
<th valign="top" align="center" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th valign="top" align="center">HR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
<th valign="top" align="center">HR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
<th valign="top" align="center">HR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
<th valign="top" align="center">HR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (M vs. F)</td>
<td valign="top" align="center">1.198 (0.789&#x2013;1.821)</td>
<td valign="top" align="center">0.397</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.921 (0.590&#x2013;1.439)</td>
<td valign="top" align="center">0.719</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age (&#x003E;50 vs.&#x2009;&#x2264;&#x2009;50 years)</td>
<td valign="top" align="center">0.703 (0.521&#x2013;0.949)</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.773 (0.543&#x2013;1.100)</td>
<td valign="top" align="center">0.153</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Preoperative antiviral therapy (yes vs. no)</td>
<td valign="top" align="center">0.849 (0.615&#x2013;1.172)</td>
<td valign="top" align="center">0.319</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.622 (0.408&#x2013;0.949)</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Postoperative antiviral therapy (yes vs. no)</td>
<td valign="top" align="center">0.917 (0.677&#x2013;1.242)</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.556 (0.389&#x2013;0.796)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HBV-DNA (positive vs. negative)</td>
<td valign="top" align="center">1.136 (0.841&#x2013;1.533)</td>
<td valign="top" align="center">0.406</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.316 (0.916&#x2013;1.891)</td>
<td valign="top" align="center">0.137</td>
<td valign="top" align="center">1.571 (1.073&#x2013;2.300)</td>
<td valign="top" align="center">0.020</td>
</tr>
<tr>
<td valign="top" align="left">Child-Pugh Classification (B vs. A)</td>
<td valign="top" align="center">0.888 (0.482&#x2013;1.636)</td>
<td valign="top" align="center">0.704</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.417 (0.798&#x2013;2.519)</td>
<td valign="top" align="center">0.234</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">AFP (&#x003E;400 vs.&#x2009;&#x2264;&#x2009;400&#x2005;ng/ml)</td>
<td valign="top" align="center">1.220 (0.892&#x2013;1.667)</td>
<td valign="top" align="center">0.213</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">2.495 (1.752&#x2013;3.553)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">1.950 (1.335&#x2013;2.848)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size (&#x003E;5 vs.&#x2009;&#x2264;&#x2009;5&#x2005;cm)</td>
<td valign="top" align="center">1.502 (1.113&#x2013;2.029)</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">1.635 (1.206&#x2013;2.215)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">2.421 (1.656&#x2013;3.540)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">2.215 (1.482&#x2013;3.310)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Number of tumors (multiple vs. single)</td>
<td valign="top" align="center">1.059 (0.682&#x2013;1.644)</td>
<td valign="top" align="center">0.798</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.700 (1.096&#x2013;2.638)</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Portal hypertension (yes vs. no)</td>
<td valign="top" align="center">1.760 (1.286&#x2013;2.408)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.859 (1.279&#x2013;2.701)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Hypersplenism</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">reference</td>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">1.640 (1.158&#x2013;2.323)</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">1.778 (1.250&#x2013;2.529)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.644 (1.085&#x2013;2.492)</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">2.063 (1.351&#x2013;3.151)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">3.042 (1.966&#x2013;4.707)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3.183 (2.057&#x2013;4.926)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3.158 (1.948&#x2013;5.122)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3.754 (2.241&#x2013;6.287)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn11"><p>OS, overall survival; DFS, disease-free survival; HR, hazard ratio; CI, confidence interval.</p></fn>
<fn id="table-fn12"><p>Univariate and multivariate analyses of prognostic factors were carried out using Cox proportional hazards models.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>To further understand the internal consistency, several subgroup analyses of OS and DFS were performed, which were stratified by basic characteristics, tumor factors, and liver function reserve parameters (<xref ref-type="fig" rid="F3">Figures&#x00A0;3A, B</xref>, respectively). Since the <italic>p</italic>-value for interaction was nonsignificant, the effect of hypersplenism on survival wasconsistently negative across all subgroups. Furthermore, the HR values observed in a small subset of subgroups were not significant. Especially in the advanced tumor stage (BCLC C; TNM III; CNCL III), hypersplenism was still the prognostic factor for OS in patients with HBV-related HCC (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.003, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005), but not for DFS. Nevertheless, this result should be verified using a study with larger sample size.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Subgroup analysis of (<bold>A</bold>) overall survival and (<bold>B</bold>) disease-free survival between the two groups with and without hypersplenism.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-10-1118693-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>HBV infection is an important risk factor for HCC, especially when occurred simultaneously with chronic liver disease and even cirrhosis (<xref ref-type="bibr" rid="B14">14</xref>), and these patients often suffered from hypersplenism (<xref ref-type="bibr" rid="B15">15</xref>). The treatment of hypersplenism in patients with HCC is controversial. Since severe liver dysfunction and low platelet counts are associated in these cases, managing perioperative bleeding and postoperative liver failure is of the main concern. Sometimes, these cases cannot be surgically managed (<xref ref-type="bibr" rid="B16">16</xref>). In addition, the outcome from simultaneous hepatectomy and splenectomy was inconsistent in different studies (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B17">17</xref>). No unified opinion on the treatment of HBV-related HCC with hypersplenism exists currently. Therefore, this study further aimed to reveal the clinical outcome differences in these patients. We found that hypersplenism significantly worsened the prognosis and need to be treated more actively.</p>
<p>The spleen is an important part of the immune system, but its normal function is affected in the presence of liver cirrhosis and compensatory hypersplenism (<xref ref-type="bibr" rid="B18">18</xref>). Jasnis et al. found that the immune function of the spleen was decreased with the progression of liver cancer (<xref ref-type="bibr" rid="B19">19</xref>). The spleen can also affect the liver microenvironment through complex liver-spleen cross-talks. Spleen-derived immune cells can directly change the composition of hepatic leukocytes by releasing cytokines or being recruited by the liver, forming an immune microenvironment that is conducive to tumor growth and development (<xref ref-type="bibr" rid="B20">20</xref>). On the other hand, tumor-derived factors alter the hepatic microenvironment, gradually increasing the immunosuppressive nature and tumor-stimulating functions of the spleen (<xref ref-type="bibr" rid="B20">20</xref>). Some previous studies revealed that the marginal area of the splenic tissue from patients with tumors contained a large number of CD11b&#x2009;&#x002B;&#x2009;Gr-1intLy6Chi cells, resulting in the abnormality of the T cell receptor CD3 complex, inhibiting T cell immune function, and leading to tumor immune tolerance (<xref ref-type="bibr" rid="B21">21</xref>). Our results supported the above findings by exhibiting the severity level of hypersplenism directly associated with prognosis results. Splenectomy in mice eliminated the tumor-induced tolerance by reducing the proportion of myeloid-derived suppressor cells in peripheral blood, restoring lymphocyte function, and increasing the natural killer cells (<xref ref-type="bibr" rid="B22">22</xref>). The spleen also affected the progress of liver regeneration through transforming growth factor <italic>&#x03B2;</italic>1 (TGF-<italic>&#x03B2;</italic>1), hepatocyte growth factor (HGF), thrombospondin-1 (TSP-1), and cytokines such as TNF-&#x03B1; and IL-6 (<xref ref-type="bibr" rid="B23">23</xref>). Our previous research found that splenectomy attenuated liver fibrosis by reducing the expression of LIGHT [Tumor necrosis factor superfamily 14 (TNFSF14; also known as LIGHT)] (<xref ref-type="bibr" rid="B24">24</xref>). It was speculated that hypersplenism showed adverse effects on the prognosis of patients with HCC complicated with cirrhosis. To further explore the effect of hypersplenism on prognosis and reduce bias, we retrieved basic and clinical data from patients who were followed for approximately ten years for retrospective analysis and evaluated potential confounding variables that might have affected the prognosis.</p>
<p>The baseline data was inconsistent with HBV-DNA copies and ALB levels as determined from our study. The patient with hypersplenism might possibly have decompensated the liver cirrhosis very early and received antiviral therapy earlier. Liver cancer occurring under this condition usually indicating a poor hepatic function. Patients with HCC without hypersplenism often compensated for liver cirrhosis, but many of them were asymptomatic. Most of these patients did not receive standard antiviral therapy, abut their hepatic function preserve was still acceptable. Thus, patients with hypersplenism had lower albumin levels and their HBV-DNA copies was mostly negative. In most patients who received standard antiviral treatment before surgery, the number of HBV-DNA copies was reduced to a normal level on the 6th-month follow-up. Hypersplenism prolonged hospital stay and increased the frequency of postoperative blood transfusions. Regarding the postoperative complications, complication categories were found statistically differed among the three groups. Since the hypersplenism was not resolved in these cases, the low WBC count, reduced PLT count, and coagulation abnormalities were not improved. The decline in platelet counts can increase the risk of internal and external bleeding (<xref ref-type="bibr" rid="B25">25</xref>). Unameliarated hypersplenism might increase the incidence of ascites and deteriorated hepatic function in patients with HCC (<xref ref-type="bibr" rid="B26">26</xref>). Therefore, patients with hypersplenism should receive more meticulous perioperative care to promote their recovery. Regarding the long-term outcome, the mean survival time and mean recurrence time were greatly reduced in HCC patients accompanied with hypersplenism, and further decreased with the severity of hypersplenism. On Kaplan-Meier analysis, the OS and DFS in patients with HCC were decreased significantly with the increasing severity of hypersplenism, and they were significantly different among the groups. This result may have been due to the postoperative inflammatory response caused by hypersplenism, and systemic inflammation that was associated with poor prognosis in HCC. Tumor cells proliferate and metastasize by promoting angiogenesis, damaging DNA structure and function, inhibiting apoptosis, and evading immunosurveillance <italic>via</italic> inflammation. Therefore, aggressive treatment of postoperative inflammation may be critical for improving the prognosis of HCC patients. Furthermore, liver function damage and even liver failure may occur in patients with HCC and hypersplenism after surgery (<xref ref-type="bibr" rid="B27">27</xref>), leading to poor OS.</p>
<p>Multivariate analysis revealed that hypersplenism and tumor size of &#x003E;5&#x2005;cm were found to be independent prognostic factors for both OS and DFS among patients with HBV-related HCC. Nevertheless, positive HBV-DNA copies and serum AFP levels of &#x003E;400&#x2005;&#x019E;g/ml were independent prognostic factors only for OS. Factors other than hypersplenism were similar in the groups at baseline. Specific to tumor size, the patients with tumor size greater than 5&#x2005;cm had a significantly worse prognosis (<xref ref-type="bibr" rid="B28">28</xref>) because vascular infiltration and tumor differentiation were closely related to the size of HCC (<xref ref-type="bibr" rid="B29">29</xref>). In addition to the effects of hypersplenism on tumor immune tolerance, hemodynamic abnormalities resulting from hypersplenism can induce abnormal liver function, influencing the outcome (<xref ref-type="bibr" rid="B4">4</xref>). Platelet counts were decreased significantly in hypersplenism, and thrombocytopenia aggravated the progression of liver abnormalities (<xref ref-type="bibr" rid="B30">30</xref>). Platelets stimulated the proliferation of liver sinusoidal endothelial cells (LSEC) and accelerated the DNA synthesis in hepatocytes (<xref ref-type="bibr" rid="B31">31</xref>). Furthermore, platelets can directly interact with hepatocytes to induce hepatic regeneration. Coculture experiments found that platelets that are in contact with hepatocytes triggered the secretion of growth factors, including IGF-1, HGF, and VEGF, and thus induced the proliferation of hepatocytes (<xref ref-type="bibr" rid="B32">32</xref>). But in contrast to mice, human platelets fail to secrete enough HGF. Therefore, this mechanism may not apply to humans. As for the role of the spleen in patient prognosis, a retrospective study with long-term follow-up by Zhang et al. showed consistent results with our study (<xref ref-type="bibr" rid="B12">12</xref>). But the definition of the pathological spleen as splenomegaly and hypersplenism in this article was different from that in our study. Our study removed this bias and targeted the investigation of hypersplenism. As the severity of hypersplenism increased, laboratory parameters were further affected. The negative regulation of the liver was enhanced, the beneficial effects diminished, and the imbalance between them became more severe. This outcome was consistent with our results, and both mild and severe hypersplenism were found to be independent risk factors for OS and DFS.</p>
<p>Subgroup analysis showed good internal consistency for the effect of hypersplenism on survival. Although statistically significant, the <italic>p</italic>-values associated with HR at different subgroup levels should be interpreted with caution (<xref ref-type="bibr" rid="B33">33</xref>). For example, they were female patients and with Child-Pugh B in the OS analysis, and patients with advanced tumor stage (BCLC C; TNM III; CNCL III) and patients with Child-Pugh B in DFS analysis. The associated <italic>P</italic>-values for HR in the above groups were not significant. This insignificance could be explained by the intergroup variability, which may have increased the proportion of patients with extreme values or with short follow-up time. This may have resulted in the inability to draw an accurate conclusion. Patients with advanced tumor stage and poor liver function had poor prognoses regardless of the cooccurrence of HCC and hypersplenism (<xref ref-type="bibr" rid="B34">34</xref>). Thus, the effect of hypersplenism on prognosis in these patients might have been masked, making the conclusion insignificant. Hence, the intervention on the spleen should be carried out as early as possible. It is uncertain whether hypersplenism can reduce the recurrence rate. But some previous studies showed that splenectomy before hepatectomy or simultaneous hepatectomy and splenectomy could both increase the DFS rate of patients with HCC and hypersplenism, while splenectomy before hepatectomy might reduce the hypersplenism without increasing the risk of surgery (<xref ref-type="bibr" rid="B35">35</xref>). However, these findings still need further verifications.</p>
<p>This study still has some limitations. First, selection bias may not have been avoided in this type of nonrandomized study. Second, all samples came from a single medical center. Third, few cases didn&#x2019;t receive complete follow-up due to the study time limitation. Therefore, expansion of the sample size or randomized controlled trial should be carried out to investigate the influence of hypersplenism on patients with HCC and hepatitis B cirrhosis following hepatectomy.</p>
<p>In conclusion, hypersplenism affected perioperative and postoperative results and prognosis in patients with HBV-related HCC. The hypersplenism prolonged the hospital stays, increased the rate of postoperative blood transfusions, and increased the incidence of complications. With the increasing severity of hypersplenism, the prognosis of patients gradually deteriorated. Additionally, severity of hypersplenism could be used as an important prognostic factor for tumor recurrence and long-term survival of patients.</p>
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</body>
<back>
<sec id="s5" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Research Ethics Committee of Tangdu Hospital (approval number: 202011-32). The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s7"><title>Author contributions</title>
<p>XC<bold>:</bold> Conception and design, Collection and assembly of data, Data analysis and interpretation, Writing&#x2014;original draft. DW: Conception and design, Provision of study materials or patients, Writing&#x2014;original draft, Funding acquisition. RD: Collection and assembly of data, Data analysis and interpretation, Writing&#x2014;original draft. TY: Provision of study materials or patients. BH: Provision of study materials or patients. YC: Provision of study materials or patients. JL: Conception and design, review &#x0026; editing. JY: Conceptualization, Funding acquisition, Supervision, Writing&#x2014;review &#x0026; editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information"><title>Funding</title>
<p>This study was supported by the National Natural Science Foundation of China (81700533), the Key Research and Development Program of Shaanxi Province, China (2017SF-116, 2015JM8420, 2015KTCL03&#x2013;05) and the Innovation and Development Foundation of Tangdu Hospital (2017LCYJ003, 2018JSYJ010, 2019LCYJ005).</p>
</sec>
<sec id="s9" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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